Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
Project description:OsTMF is a transcription factor and negatively regulates cold tolerance We used microarray analysis to find differentially expressed genes in OsTMF overexpression (OsTMF-OE) plants compared with the wild-type rice ZH11.
2019-12-31 | GSE129481 | GEO
Project description:differentially expressed genes between macrophages-ABHD12-OE and macrophages-NC
Project description:Purpose: To study the shared transcriptional network between suppression transgenic plants of BdG and overexpresssion plants of SiRGS in B. distachyon. Method: Total RNA was isolated from 2 independent transgenic lines of amiR-BdG and Bd-SiRGS-OE. RNA-seq library preparation, sequencing and initial quality control analysis were performed by Novogene Inc. The sequences were analyzed for quality using FastQC. Transcripts per million (TPM) abundance was estimated by pseudo-aligning the reads with that of the k-mer index available from the reference genome of B. distachyon from Phytozome using Kallisto. Differentially expressed genes were sorted using Sleuth program with likelihod ration cutoff of false discovery rate (FDR) < 0.05. The log2 fold change was calculated from the TPM values derived for the wild-type and transgenic plants. Result: The transcriptome data showed more that 60% of overlap between amiR-BdG and Bd-SiRGS-OE. Among common genes more than 90% showed similar expression pattern when screened for several developmental and hormonal signaling pathways.
2020-12-15 | GSE153188 | GEO
Project description:Differentially expressed genes involved in R. solani- and Xoo-infected OsEIL2-OE, oseil2, and WT plants.
Project description:The goals of this study are to compare the differentially expressed genes between OE-NC and OE-SOX3 KGN cell lines based on RNA-seq data and some of these genes were validated by qRT–PCR. Further, the differentially expressed genes were devided into up-regulated and down-regulated genes for GO, GSEA and KEGG analysis.
Project description:Based on activities of daily living assessments at admission and followed by a 3-month recovery, ischemic stroke participants were categorized into the groups involving the recovery of little effective (LE) and obvious effective (OE). Differentially expressed proteins (DEPs) derived from proteomic testing of the clinical serum samples (5 LE, 5 OE, and 6 healthy control) and differentially expressed genes (DEGs). In total, 194 DEPs (LE vs healthy control) and 174 DEPs (OE vs healthy control) in serum of the enrolled.
Project description:We performed RNA-seq on CD34+ human cord blood (CB) cells transduced with Control or miR-130a OE lentiviruses to identify differentially expressed genes. Sorted CD34+ cells from 3 independent cord blood pools were transduced with lentiviruses containing mOrange (mO) reporter gene. mO+ cells were sorted 3 days post-transduction and RNA was harvested for library preparation and sequencing.
Project description:To investigate the function of NAC094 in vivo, we overexpressed NAC094 in the infected cells of nodules using an L. japonicus Lb2 expression cassette. To this end, we used a GUS overexpression construct as control and analysed stably transformed plants to detect symbiotic phenotypes. Results show that overexpression of NAC094 causes premature senescence of nodules. To identify the mechanism by which NAC094 regulates nodule senescence, we performed a transcriptome profiling analysis of nodules at 3 wpi. Around 13,850 differentially expressed genes (DEGs) were identified by comparing NAC-OE with control nodules (Log2FC > 1, FDR < 0.05). Of these, 7,516 were up-regulated (NAC-OE-UP) and 6,334 were down-regulated (NAC-OE-DOWN).